Abstract
Recently, Z. Chair and P. R. Varshney (1986) have solved the data fusion problem for n fixed binary local detectors with statistically independent decisions. Their solution is generalized by using the Bahadur-Lazarfeld expansion of probability density functions. The optimal data fusion rule is developed for correlated local binary decisions, in terms of the conditional correlation coefficients of order 1, 2, ..., n. It is shown that when all these coefficients are zero, the rule coincides with the original Chair-Varshney design.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings of the American Control Conference |
| Editors | Anon |
| Publisher | Publ by American Automatic Control Council |
| Pages | 2174-2175 |
| Number of pages | 2 |
| Volume | 3 |
| ISBN (Print) | 0879425652 |
| State | Published - Dec 1 1991 |
| Externally published | Yes |
| Event | Proceedings of the 1991 American Control Conference - Boston, MA, USA Duration: Jun 26 1991 → Jun 28 1991 |
Other
| Other | Proceedings of the 1991 American Control Conference |
|---|---|
| City | Boston, MA, USA |
| Period | 6/26/91 → 6/28/91 |
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering